International Journal of Fuzzy Logic Systems (IJFLS) Vol.3, No1, January 2013
SOLVING AN AGGREGATE PRODUCTION PLANNING PROBLEM BY FUZZY BASED GENETIC ALGORITHM (FBGA) APPROACH Ripon Kumar Chakrabortty1 & Md. A. Akhtar Hasin2 1
Department of Industrial & Production Engineering, Rajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh ripon_ipebuet@yahoo.com
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Department of Industrial and Production Engineering, Bangladesh University of Science and Technology (BUET), Dhaka-1000, Bangladesh aahasin@ipe.buet.ac.bd
ABSTRACT This paper work demonstrated an interactive Fuzzy Based Genetic Algorithm (FBGA) approach for solving a two products & two periods aggregate production planning (APP) with some vulnerable managerial constraints like imprecise demands, variable manufacturing costs etc. This proposed approach used the strategy of simultaneously minimizing the most possible value, the most pessimistic value & also most optimistic value of the imprecise total costs in lieu of some strong resource constraints. Another important purpose of this study is to derive & observe the variations along with the scope of the imprecise total cost, maximizing the possibility of obtaining lower total costs and also minimizing the risk of obtaining higher total costs. Here the authors employed different unique genetic algorithm parameters scrupulously for solving nondeterministic polynomials problems like APP problems. For reinforcing & accelerating the decision making for the decision maker a case study was considered in a Ready Made garment company in Bangladesh. Consequently, the proposed FBGA approach yields an efficient APP compromise solution and could be efficient for large scale problems.
KEYWORDS Multi-objective optimization, Fuzzy Logic, Genetic Algorithm, Aggregate Production Planning
1. INTRODUCTION Customer demand enters into the production system as units of products. However, production has to be planned as hours of machining and worker hours. In recent era since modernization grasp all kinds of traditional thinking as well as modern manufacturing practices. Obsolescence is the burning issue which takes only a tiny period for any consumer goods. Product life cycles are being shortened with an alarming rate which results unpredicted customer demand. For any supply chain profitability it is mandatory to maintain a balance between supply chain responsiveness & supply chain efficiency. For achieving strategic fit a manufacturing firm bears DOI : 10.5121/ijfls.2013.3101
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